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jspast/paddlepaddle-table-models-onnx
paddlepaddle-table-models-onnx is a object detection model from jspast. Use it when you need objects located in an image. The card lists the license as apache-2.0.
- tablecls.onnx: Classifies table images into wired and wireless tables (original model) - wiredtablecelldet.onnx: Detects cells from wired table images (original model) - wirelesstablecelldet.onnx: Detects cells from…
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Updated Mar 8, 2026
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From the Hugging Face model README
table_cls.onnx: Classifies table images into wired and wireless tables (original model)wired_table_cell_det.onnx: Detects cells from wired table images (original model)wireless_table_cell_det.onnx: Detects cells from wireless table images (original model)With cells2table, a docling plugin is provided to allow integrating these models in a complete pipeline.
Install with uv:
uv pip install cells2table
Example:
from cells2table.docling import CustomDoclingTableStructureOptions
pipeline_options = PdfPipelineOptions(
allow_external_plugins=True,
table_structure_options=CustomDoclingTableStructureOptions(),
)
converter = DocumentConverter(
format_options={
InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options),
InputFormat.IMAGE: PdfFormatOption(pipeline_options=pipeline_options),
}
)
result = converter.convert("path/to/document.pdf")
print(result.document.export_to_markdown())